Database

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Daniel Atherton is an adjunct lecturer in the Writing Program at Georgetown University whose work focuses on writing and editing and on responsible artificial intelligence. He contributes to the AI Incident Database, a project of the Responsible AI Collaborative, where he writes AI incident roundups and co-authors research on AI incidents and trustworthy AI.

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Sage Andrus Bergerson is a researcher and data analyst with expertise in machine learning and AI policy. She holds an MS in Machine Learning from University College London, where her work focused on speech recognition and natural language processing, and a BS in Neuroscience and Computer Science from New York University, where she was a research fellow with the Machine Learning for Language group. She previously served as a Research Data Analyst at the Brain Resilience Laboratory (Knight Initiative for Brain Resilience) at Stanford, applying deep learning to brain resilience and aging research. Her connection to AI safety and governance includes co-authoring "The Compute Divide in Machine Learning: A Threat to Academic Contribution and Scrutiny?" (arXiv, 2024), a data-driven study examining how the disparity in computational resources between industry and academia threatens independent scrutiny of advanced AI systems, produced in collaboration with Epoch, MIT CSAIL's FutureTech group, and the Centre for the Governance of AI (GovAI). She received a small grant from the AI Risk Mitigation Fund to support this work. Past affiliations include DMM.com Group, the Office of the Director of National Intelligence, Stanford CISAC, and the NYU Center for Data Science.

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Jose Groh is an astrophysicist and independent researcher who received a career transition grant to pursue AI safety and risk mitigation research. He holds a PhD in astrophysics from the University of Sao Paulo (Brazil), earned at age 25, and built a 15-year academic research career studying massive stars, supernovae, and black holes. He served as Professor of Astrophysics at Trinity College Dublin (until 2022), as Senior Researcher at the University of Geneva under an Ambizione award, and as a researcher at the Max Planck Institute in Germany. During his academic career he published over 170 peer-reviewed papers and delivered more than 40 keynote presentations at international conferences. After leaving academia he has been based in Leiden, Netherlands, and has been developing skills in machine learning and AI, including mechanistic interpretability, as part of his transition toward AI safety research.

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Remco Zwetsloot is the Co‑Founder and Co‑Executive Director of the Horizon Institute for Public Service. Previously, he was a Trustee Fellow at the Center for Strategic and International Studies, where he remains a non‑resident Adjunct Fellow, and a founding Research Fellow at Georgetown’s Center for Security and Emerging Technology, leading work on the U.S. AI and semiconductor workforce. His research on the emerging technology workforce, STEM immigration, research security, and U.S.–China technology competition has appeared in outlets such as the Wall Street Journal, the Washington Post, and Foreign Affairs, and has been cited in high‑level policy reports. Remco holds master’s degrees from Yale University and the University of Oxford and a bachelor’s degree from University College Roosevelt.

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Law professor at Touro Universitys Jacob D. Fuchsberg Law Center whose teaching and research focus on torts, climate change law and policy, and law & artificial intelligence. His work on using tort law to mitigate catastrophic risks from advanced AI systems, including the paper "Tort Law as a Tool for Mitigating Catastrophic Risk from Artificial Intelligence," has attracted substantial media and legislative interest and an Open Philanthropy grant to support future AI governance scholarship.

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Policy Lead and Senior Counsel at the Center for AI Safety Action Fund; previously Senior Advisor to the U.S. Deputy Secretary of Commerce, a law clerk for two federal judges, and a private-sector litigator; graduate of Yale Law School, Oxford University, and Williams College, where he was a Truman and Rhodes Scholar.

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4-month stipend to continue work on AI Control as a MATS extension

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bridging the gap between tech industry and governments

One Month to Study, Explain, and Try to Solve Superintelligence Alignment

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Antonio Franca (full name Antonio Franca Ibáñez) is a PhD student at AITHYRA, the Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences in Vienna, Austria, where he is advised by Alexander Tong under Michael Bronstein's leadership. He holds an MPhil in Machine Learning (with Distinction) from Cambridge and a BSc in Mathematics (Cum Laude) from VU Amsterdam. His research focuses on geometric deep learning, flow-based generative models, and dynamics-informed molecular design, including work on RNA inverse folding and accelerating molecular sampling with generative models. He participated in the ML Safety Scholars (MLSS) program, where his project was a distillation of Joe Carlsmith's report "Is Power-Seeking AI an Existential Risk?", which was subsequently published on the EA Forum and LessWrong. He previously served as a teaching assistant at VU Amsterdam in courses including calculus, probability theory, and linear algebra.

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Carlos Guestrin is co-founder and Chief Scientist at Virtue AI and a Professor of Computer Science at Stanford University, previously founding machine learning startup Turi and serving as Director of Machine Learning at Apple after its acquisition.

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Professor of Computer Science at Deakin University in Geelong, Deputy Head of the School of Information Technology and leader of the Machine Intelligence Lab, co-founder/co-leader of ARAAC, and a leading researcher on human-aligned autonomous agents through safe, ethical, explainable and interactive methods using multi-objective reinforcement learning.

Independent researcher working on interpretability for large language models and a Research Engineer at EquiStamp working with Redwood Research; he also facilitates AGI Strategy courses for BlueDot Impact and organizes AI Salon Berlin.

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6-month stipend to work on safe and robust reasoning via mechanistically interpreting representations

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Maris Sala is an Operations Specialist at 80,000 Hours. She studied cognitive science at Aarhus University in Denmark, where her research focused on comparing people’s stated attitudes with their actual behaviour using online discourse data. She has also been involved with the effective altruism community through writing and research on existential risk and AI alignment.

General support of research led by James Payor

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Assistant Professor of Cyber Security at the University of Birmingham and co-founder/director of Zeroth Research, with research focusing on the security of autonomous systems, explainable AI, and formal verification of machine learning algorithms; he is principal investigator on the ARIA Safeguarded AI grant “Infrastructure for Safeguarded AI Systems.”

Partner at Fifty Years with a PhD in Environmental Science from Caltech; previously worked at Divergent Technologies developing metal 3D‑printed vehicle structures and hypercars running on renewable methanol, and co-founded a startup at Caltech to commercialize causality algorithms.

Amrita A. Nair is a Digital Design (RTL) Engineer at Texas Instruments based in Dallas, Texas. She received her B.Tech from the College of Engineering, Trivandrum, India, and previously served as Chairperson of the IEEE Student Branch at CET. She has received grants from EA Funds (listed on her LinkedIn as a Centre for Effective Altruism Grant Recipient) to upskill in technical AI safety and explore a potential career transition into AI alignment research.

Dr Rachel Adams is Executive Director and Research Professor at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge and the Founding CEO of the Global Centre on AI Governance, an Africa‑based research collective that houses the African Observatory on Responsible AI and the Global Index on Responsible AI. Her work on AI governance, global inequality and digital rights combines academic research with high‑level policy engagement, including leading roles in drafting the African Union’s Continental AI Strategy and advising organisations such as UNESCO, the UN, the UK Foreign, Commonwealth & Development Office, UNDP, the Gates Foundation and the Global Partnership on AI. She holds degrees in English literature, international human rights law and philosophy and is the author of several books, including The New Empire of AI: The Future of Global Inequality.

Nuhu Jacob serves as the Executive Director for the VERITAS with 12 years’ experience in projects. In this role, Mr. Jacob is responsible for business development, project preparation and evaluation, and project management of VERITAS activities in areas of operation, Tanzania Mainland. Mr. Jacob hold BSc and MSc in Agricultural Economics from Sokoine University of Agriculture (SUA) in Morogoro

4-month fund for full time AI safety technical and/or governance research

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